COVER STORY • 封面專題 2021 UMAGAZINE 24 • 澳大新語 26 Among the many products resulting from their research is a mobile application that can recommend personalised itineraries for users. It works by analysing the ‘travel trajectory’ of the users on social media, which is largely a list of places they have travelled in Macao tagged with visiting times and comments. Prof Gong believes that providing more personalised travel experiences will encourage tourists to stay longer in Macao. ‘Our app also uses transfer learning algorithms to analyse the travel preferences of visitors in their hometowns, so that it can recommend travel options once they arrive at Macao,’ he says The UM research team has also developed new algorithms that use social media data to evaluate the tourists’ sentiments to identify their favourite places and activities, and to detect and predict emergent events. ‘New technology allows hospitality venues such as hotels, restaurants, The massive data we create every day on social media holds the key to transforming the travel industry. At the University of Macau (UM), researchers are designing advanced algorithms which can help Macao become a smart world centre of tourism and leisure. Tailor‑made Tours for Everyone Prof Gong Zhiguo is a data mining expert and head of UM’s Department of Computer and Information Science. At the State Key Laboratory of Internet of Things for Smart City (University of Macau), Prof Gong and his students are designing mobile applications for tourists and the tourism sector. Their project, titled ‘A Hierarchical Categorisation Model for Online Events Discovery from Social Media Data’, has received support from the Macao Science and Technology Development Fund since 2019. 澳大正在開發一系列先進算法，推動澳門成為智慧型世界旅遊休閒中心。 UM researchers are designing advanced algorithms which can help Macao become a smart world centre of tourism and leisure
RkJQdWJsaXNoZXIy MTQ1NDU2Ng==